--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  C:\Users\KaSchulz\Documents\Abraham, Doligalski, Schulz, Werquin\Web Appendix\Lemieux_et_al_PP_by_Earnings.log
  log type:  text
 opened on:  20 Dec 2022, 13:05:59

. u psid7899_mar08;

. keep if status==1;
(2,010 observations deleted)

. drop if year==98 & tenure<1;
(103 observations deleted)

. replace avhrly=(avhrly/cpi)*100;
(25,253 real changes made)

. drop if avhrly<1.5 | avhrly>100;
(349 observations deleted)

. replace hdlaby=(hdlaby/cpi)*100;
(25,066 real changes made)

. replace comm=comm==1 | (commis>0 & commis~=.) | piece==1;
(296 real changes made)

. replace boni= (bonus>0 & bonus~=.) | comm==1;
(7,370 real changes made)

. gen exp2=potexp*potexp;

. gen exp3=potexp*exp2;

. egen numobs=count(id), by(jobmatch);

. egen maxbon=max(boni), by(jobmatch);

.  /* create bonus job dummy */
> 
> *pause;
. *replace iweight=iweight*hours;
. tab numobs [aw=iweight] if year>=82 & year<=90;

     numobs |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 | 1,156.9296       10.19       10.19
          2 |790.9349349        6.97       17.16
          3 | 716.903519        6.32       23.48
          4 | 548.630116        4.83       28.31
          5 | 512.511739        4.52       32.82
          6 |  463.92401        4.09       36.91
          7 | 464.473294        4.09       41.00
          8 | 494.323324        4.35       45.36
          9 | 590.412369        5.20       50.56
         10 |   535.6747        4.72       55.28
         11 | 569.100084        5.01       60.29
         12 | 553.025956        4.87       65.16
         13 | 516.881851        4.55       69.72
         14 | 557.462821        4.91       74.63
         15 | 593.225974        5.23       79.86
         16 | 372.204289        3.28       83.13
         17 | 374.607675        3.30       86.43
         18 | 419.390862        3.69       90.13
         19 | 304.332413        2.68       92.81
         20 | 364.661965        3.21       96.02
         21 | 258.457742        2.28       98.30
         22 | 192.930792        1.70      100.00
------------+-----------------------------------
      Total |     11,351      100.00

. ta year, ge(y);

       year |      Freq.     Percent        Cum.
------------+-----------------------------------
         76 |      1,092        4.18        4.18
         77 |      1,168        4.47        8.64
         78 |      1,224        4.68       13.33
         79 |      1,234        4.72       18.04
         80 |      1,240        4.74       22.79
         81 |      1,215        4.65       27.43
         82 |      1,218        4.66       32.09
         83 |      1,197        4.58       36.67
         84 |      1,252        4.79       41.46
         85 |      1,265        4.84       46.30
         86 |      1,250        4.78       51.08
         87 |      1,263        4.83       55.91
         88 |      1,300        4.97       60.88
         89 |      1,302        4.98       65.86
         90 |      1,304        4.99       70.85
         91 |      1,259        4.82       75.66
         92 |      1,209        4.62       80.29
         93 |      1,141        4.36       84.65
         94 |      1,180        4.51       89.16
         95 |      1,226        4.69       93.85
         96 |        913        3.49       97.35
         98 |        694        2.65      100.00
------------+-----------------------------------
      Total |     26,146      100.00

.  *Create period-specific dummy variables, y;
. ta numobs, ge(num);

     numobs |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      3,365       12.87       12.87
          2 |      2,584        9.88       22.75
          3 |      2,076        7.94       30.69
          4 |      1,708        6.53       37.23
          5 |      1,485        5.68       42.91
          6 |      1,464        5.60       48.50
          7 |      1,092        4.18       52.68
          8 |      1,136        4.34       57.03
          9 |      1,125        4.30       61.33
         10 |      1,040        3.98       65.31
         11 |        979        3.74       69.05
         12 |        792        3.03       72.08
         13 |        936        3.58       75.66
         14 |        882        3.37       79.03
         15 |        960        3.67       82.70
         16 |        640        2.45       85.15
         17 |        748        2.86       88.01
         18 |        792        3.03       91.04
         19 |        665        2.54       93.59
         20 |        820        3.14       96.72
         21 |        483        1.85       98.57
         22 |        374        1.43      100.00
------------+-----------------------------------
      Total |     26,146      100.00

.  *Create number-of-times-observed dummies, num;
. summ num1 if year>=82 & year<=90 [aw=iweight];

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
        num1 |  11,351  288547.083    .1019231   .3025605          0          1

.  replace num1=num1-r(mean);
variable num1 was byte now float
(26,146 real changes made)

.   summ num2 if year>=82 & year<=90 [aw=iweight];

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
        num2 |  11,351  288547.083    .0696798   .2546178          0          1

.  replace num2=num2-r(mean);
variable num2 was byte now float
(26,146 real changes made)

.   summ num3 if year>=82 & year<=90 [aw=iweight];

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
        num3 |  11,351  288547.083    .0631577   .2432572          0          1

.  replace num3=num3-r(mean);
variable num3 was byte now float
(26,146 real changes made)

.    summ num4 if year>=82 & year<=90 [aw=iweight];

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
        num4 |  11,351  288547.083    .0483332   .2144788          0          1

.  replace num4=num4-r(mean);
variable num4 was byte now float
(26,146 real changes made)

.   summ num5 if year>=82 & year<=90 [aw=iweight];

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
        num5 |  11,351  288547.083    .0451512   .2076449          0          1

.  replace num5=num5-r(mean);
variable num5 was byte now float
(26,146 real changes made)

.    summ num6 if year>=82 & year<=90 [aw=iweight];

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
        num6 |  11,351  288547.083    .0408708   .1979995          0          1

.  replace num6=num6-r(mean);
variable num6 was byte now float
(26,146 real changes made)

.   summ num7 if year>=82 & year<=90 [aw=iweight];

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
        num7 |  11,351  288547.083    .0409192   .1981117          0          1

.  replace num7=num7-r(mean);
variable num7 was byte now float
(26,146 real changes made)

.   summ num8 if year>=82 & year<=90 [aw=iweight];

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
        num8 |  11,351  288547.083    .0435489   .2040981          0          1

.  replace num8=num8-r(mean);
variable num8 was byte now float
(26,146 real changes made)

.  summ num9 if year>=82 & year<=90 [aw=iweight];

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
        num9 |  11,351  288547.083    .0520141   .2220653          0          1

.  replace num9=num9-r(mean);
variable num9 was byte now float
(26,146 real changes made)

.    summ num10 if year>=82 & year<=90 [aw=iweight];

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
       num10 |  11,351  288547.083    .0471919   .2120583          0          1

.  replace num10=num10-r(mean);
variable num10 was byte now float
(26,146 real changes made)

.    summ num11 if year>=82 & year<=90 [aw=iweight];

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
       num11 |  11,351  288547.083    .0501366   .2182363          0          1

.  replace num11=num11-r(mean);
variable num11 was byte now float
(26,146 real changes made)

.     summ num12 if year>=82 & year<=90 [aw=iweight];

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
       num12 |  11,351  288547.083    .0487205   .2152925          0          1

.  replace num12=num12-r(mean);
variable num12 was byte now float
(26,146 real changes made)

.   summ num13 if year>=82 & year<=90 [aw=iweight];

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
       num13 |  11,351  288547.083    .0455362   .2084863          0          1

.  replace num13=num13-r(mean);
variable num13 was byte now float
(26,146 real changes made)

.   summ num14 if year>=82 & year<=90 [aw=iweight];

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
       num14 |  11,351  288547.083    .0491113     .21611          0          1

.  replace num14=num14-r(mean);
variable num14 was byte now float
(26,146 real changes made)

.   summ num15 if year>=82 & year<=90 [aw=iweight];

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
       num15 |  11,351  288547.083     .052262   .2225647          0          1

.  replace num15=num15-r(mean);
variable num15 was byte now float
(26,146 real changes made)

.   summ num16 if year>=82 & year<=90 [aw=iweight];

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
       num16 |  11,351  288547.083    .0327904   .1780955          0          1

.  replace num16=num16-r(mean);
variable num16 was byte now float
(26,146 real changes made)

.    summ num17 if year>=82 & year<=90 [aw=iweight];

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
       num17 |  11,351  288547.083    .0330022   .1786501          0          1

.  replace num17=num17-r(mean);
variable num17 was byte now float
(26,146 real changes made)

.   summ num18 if year>=82 & year<=90 [aw=iweight];

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
       num18 |  11,351  288547.083    .0369475   .1886412          0          1

.  replace num18=num18-r(mean);
variable num18 was byte now float
(26,146 real changes made)

.   summ num19 if year>=82 & year<=90 [aw=iweight];

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
       num19 |  11,351  288547.083    .0268111    .161538          0          1

.  replace num19=num19-r(mean);
variable num19 was byte now float
(26,146 real changes made)

.   summ num20 if year>=82 & year<=90 [aw=iweight];

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
       num20 |  11,351  288547.083     .032126   .1763424          0          1

.  replace num20=num20-r(mean);
variable num20 was byte now float
(26,146 real changes made)

.    summ num21 if year>=82 & year<=90 [aw=iweight];

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
       num21 |  11,351  288547.083    .0227696   .1491748          0          1

.  replace num21=num21-r(mean);
variable num21 was byte now float
(26,146 real changes made)

.  summ num22 if year>=82 & year<=90 [aw=iweight];

    Variable |     Obs      Weight        Mean   Std. Dev.       Min        Max
-------------+-----------------------------------------------------------------
       num22 |  11,351  288547.083    .0169968   .1292648          0          1

.  replace num22=num22-r(mean);
variable num22 was byte now float
(26,146 real changes made)

.    replace iweight=iweight*hours;
(26,146 real changes made)

. *generate dummies for earnings quartiles for each year;
. *ssc inst egenmore;
. egen earnings_quart=xtile(hdlaby), nq(100) by(year) weights(iweight);

. gen earnings_quartile1=(earnings_quart<=25);

. gen earnings_quartile2=(earnings_quart>25&earnings_quart<=50);

. gen earnings_quartile3=(earnings_quart>50&earnings_quart<=75);

. gen earnings_quartile4=(earnings_quart>75&earnings_quart<=90);

. gen earnings_quartile5=(earnings_quart>90&earnings_quart<=95);

. gen earnings_quartile6=(earnings_quart>95);

. *egen earnings_quart=xtile(hdlaby), nq(4) by(year) weights(iweight);
. *gen earnings_quartile1=(earnings_quart==1);
. *gen earnings_quartile2=(earnings_quart==2);
. *gen earnings_quartile3=(earnings_quart==3);
. *gen earnings_quartile4=(earnings_quart==4);
. *xi: reg maxbon num1-num22 year##earnings_quart [aw=iweight], nocons;
. xi: reg maxbon num1-num22 i.year year##earnings_quartile2 year##earnings_quartile3 year##earnings_quartile4 year##earnings_quartile5 year##earnings_quartile6 [aw=iweight], no
> cons;
i.year            _Iyear_76-98        (naturally coded; _Iyear_76 omitted)
(sum of wgt is 1,497,181,019.887)
note: num22 omitted because of collinearity
note: 77.year omitted because of collinearity
note: 78.year omitted because of collinearity
note: 79.year omitted because of collinearity
note: 80.year omitted because of collinearity
note: 81.year omitted because of collinearity
note: 82.year omitted because of collinearity
note: 83.year omitted because of collinearity
note: 84.year omitted because of collinearity
note: 85.year omitted because of collinearity
note: 86.year omitted because of collinearity
note: 87.year omitted because of collinearity
note: 88.year omitted because of collinearity
note: 89.year omitted because of collinearity
note: 90.year omitted because of collinearity
note: 91.year omitted because of collinearity
note: 92.year omitted because of collinearity
note: 93.year omitted because of collinearity
note: 94.year omitted because of collinearity
note: 95.year omitted because of collinearity
note: 96.year omitted because of collinearity
note: 98.year omitted because of collinearity

      Source |       SS           df       MS      Number of obs   =    26,146
-------------+----------------------------------   F(152, 25994)   =    163.00
       Model |  5302.96967       152  34.8879584   Prob > F        =    0.0000
    Residual |  5563.55206    25,994  .214032164   R-squared       =    0.4880
-------------+----------------------------------   Adj R-squared   =    0.4850
       Total |  10866.5217    26,146  .415609337   Root MSE        =    .46264

-----------------------------------------------------------------------------------------
                 maxbon |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------------+----------------------------------------------------------------
                   num1 |  -.3836958   .0231319   -16.59   0.000    -.4290356    -.338356
                   num2 |  -.2827466   .0232365   -12.17   0.000    -.3282915   -.2372017
                   num3 |  -.2566965   .0236225   -10.87   0.000     -.302998   -.2103951
                   num4 |  -.2206024   .0241449    -9.14   0.000    -.2679278    -.173277
                   num5 |  -.1948719   .0243329    -8.01   0.000    -.2425658   -.1471781
                   num6 |  -.1522971   .0245429    -6.21   0.000    -.2004025   -.1041917
                   num7 |  -.1689554   .0251071    -6.73   0.000    -.2181666   -.1197442
                   num8 |  -.1834343   .0252878    -7.25   0.000    -.2329999   -.1338687
                   num9 |  -.1130255   .0249978    -4.52   0.000    -.1620225   -.0640285
                  num10 |  -.1514823   .0253922    -5.97   0.000    -.2012525   -.1017121
                  num11 |  -.1017253    .025397    -4.01   0.000    -.1515049   -.0519458
                  num12 |  -.2266011    .025792    -8.79   0.000    -.2771549   -.1760473
                  num13 |   .0148499   .0260606     0.57   0.569    -.0362304    .0659302
                  num14 |  -.0602714   .0256697    -2.35   0.019    -.1105855   -.0099574
                  num15 |  -.1734228   .0256481    -6.76   0.000    -.2236944   -.1231512
                  num16 |   .0704755   .0275176     2.56   0.010     .0165394    .1244116
                  num17 |   .0612618   .0271856     2.25   0.024     .0079765     .114547
                  num18 |  -.0752588   .0260739    -2.89   0.004     -.126365   -.0241526
                  num19 |  -.0528446   .0278834    -1.90   0.058    -.1074977    .0018085
                  num20 |  -.0432811   .0264632    -1.64   0.102    -.0951505    .0085883
                  num21 |  -.1386779   .0280903    -4.94   0.000    -.1937364   -.0836193
                  num22 |          0  (omitted)
              _Iyear_77 |   .3285545   .0292381    11.24   0.000     .2712463    .3858627
              _Iyear_78 |   .2994195   .0284212    10.54   0.000     .2437125    .3551266
              _Iyear_79 |   .3204998   .0275653    11.63   0.000     .2664702    .3745294
              _Iyear_80 |   .3546958   .0277789    12.77   0.000     .3002476    .4091439
              _Iyear_81 |   .3721123   .0281285    13.23   0.000     .3169789    .4272457
              _Iyear_82 |   .3991666    .028347    14.08   0.000      .343605    .4547282
              _Iyear_83 |   .3975546   .0285649    13.92   0.000     .3415657    .4535435
              _Iyear_84 |   .3685807   .0265788    13.87   0.000     .3164847    .4206767
              _Iyear_85 |   .3870949   .0266532    14.52   0.000     .3348531    .4393367
              _Iyear_86 |   .3985713   .0267839    14.88   0.000     .3460734    .4510693
              _Iyear_87 |   .3897085   .0264928    14.71   0.000     .3377811     .441636
              _Iyear_88 |   .3382054   .0263471    12.84   0.000     .2865636    .3898472
              _Iyear_89 |   .3761235   .0248121    15.16   0.000     .3274904    .4247566
              _Iyear_90 |   .3671601   .0249932    14.69   0.000      .318172    .4161482
              _Iyear_91 |   .3783742   .0253811    14.91   0.000     .3286258    .4281226
              _Iyear_92 |   .3838229   .0259778    14.78   0.000     .3329051    .4347408
              _Iyear_93 |   .3719874   .0253446    14.68   0.000     .3223106    .4216641
              _Iyear_94 |   .3512438   .0250841    14.00   0.000     .3020776      .40041
              _Iyear_95 |   .3523494   .0244956    14.38   0.000     .3043367     .400362
              _Iyear_96 |   .3610055   .0257233    14.03   0.000     .3105865    .4114245
              _Iyear_98 |   .3761552   .0316518    11.88   0.000     .3141158    .4381946
                        |
                   year |
                    77  |          0  (omitted)
                    78  |          0  (omitted)
                    79  |          0  (omitted)
                    80  |          0  (omitted)
                    81  |          0  (omitted)
                    82  |          0  (omitted)
                    83  |          0  (omitted)
                    84  |          0  (omitted)
                    85  |          0  (omitted)
                    86  |          0  (omitted)
                    87  |          0  (omitted)
                    88  |          0  (omitted)
                    89  |          0  (omitted)
                    90  |          0  (omitted)
                    91  |          0  (omitted)
                    92  |          0  (omitted)
                    93  |          0  (omitted)
                    94  |          0  (omitted)
                    95  |          0  (omitted)
                    96  |          0  (omitted)
                    98  |          0  (omitted)
                        |
   1.earnings_quartile2 |   .3579153   .0299852    11.94   0.000     .2991426     .416688
                        |
year#earnings_quartile2 |
                  77 1  |  -.3274504   .0508837    -6.44   0.000    -.4271852   -.2277156
                  78 1  |  -.3446239   .0500857    -6.88   0.000    -.4427945   -.2464532
                  79 1  |  -.3241085   .0492244    -6.58   0.000     -.420591   -.2276259
                  80 1  |  -.3265733   .0494509    -6.60   0.000    -.4234998   -.2296468
                  81 1  |  -.3445507   .0498568    -6.91   0.000    -.4422728   -.2468287
                  82 1  |  -.4041429   .0501309    -8.06   0.000    -.5024022   -.3058836
                  83 1  |  -.3660338   .0503697    -7.27   0.000    -.4647613   -.2673063
                  84 1  |  -.3698001   .0481306    -7.68   0.000    -.4641387   -.2754615
                  85 1  |  -.3211772   .0482713    -6.65   0.000    -.4157916   -.2265627
                  86 1  |  -.3607508   .0483306    -7.46   0.000    -.4554815   -.2660201
                  87 1  |  -.3607912   .0481392    -7.49   0.000    -.4551467   -.2664357
                  88 1  |  -.2939263    .047937    -6.13   0.000    -.3878855   -.1999671
                  89 1  |  -.3279389   .0462546    -7.09   0.000    -.4186004   -.2372773
                  90 1  |    -.30626   .0463775    -6.60   0.000    -.3971626   -.2153575
                  91 1  |  -.3098845   .0467689    -6.63   0.000     -.401554   -.2182149
                  92 1  |  -.3404225   .0473835    -7.18   0.000    -.4332968   -.2475482
                  93 1  |  -.3555208   .0470489    -7.56   0.000    -.4477394   -.2633023
                  94 1  |  -.2720019   .0464135    -5.86   0.000     -.362975   -.1810288
                  95 1  |  -.3055955   .0459745    -6.65   0.000    -.3957081    -.215483
                  96 1  |  -.3048806   .0478973    -6.37   0.000     -.398762   -.2109993
                  98 1  |  -.3309115   .0541585    -6.11   0.000    -.4370652   -.2247577
                        |
   1.earnings_quartile3 |   .3224812   .0299831    10.76   0.000     .2637127    .3812498
                        |
year#earnings_quartile3 |
                  77 1  |  -.3093862   .0508673    -6.08   0.000    -.4090889   -.2096835
                  78 1  |  -.2635597   .0501777    -5.25   0.000    -.3619107   -.1652086
                  79 1  |  -.2986108   .0491845    -6.07   0.000    -.3950152   -.2022065
                  80 1  |  -.3399101   .0495199    -6.86   0.000    -.4369719   -.2428483
                  81 1  |   -.324608   .0498765    -6.51   0.000    -.4223687   -.2268473
                  82 1  |  -.3644824   .0501804    -7.26   0.000    -.4628388    -.266126
                  83 1  |  -.3745797   .0503738    -7.44   0.000    -.4733151   -.2758443
                  84 1  |  -.3154528   .0481823    -6.55   0.000    -.4098928   -.2210129
                  85 1  |  -.3347821   .0482286    -6.94   0.000    -.4293128   -.2402514
                  86 1  |  -.3707495   .0484248    -7.66   0.000    -.4656648   -.2758341
                  87 1  |   -.319456   .0481172    -6.64   0.000    -.4137684   -.2251436
                  88 1  |  -.2134923   .0478924    -4.46   0.000    -.3073641   -.1196206
                  89 1  |  -.2709842   .0462308    -5.86   0.000    -.3615992   -.1803693
                  90 1  |  -.2915115   .0464064    -6.28   0.000    -.3824706   -.2005524
                  91 1  |  -.2885664   .0468668    -6.16   0.000    -.3804279   -.1967048
                  92 1  |   -.270754   .0474925    -5.70   0.000     -.363842    -.177666
                  93 1  |  -.2543725   .0469205    -5.42   0.000    -.3463392   -.1624058
                  94 1  |  -.2125392   .0464629    -4.57   0.000     -.303609   -.1214694
                  95 1  |  -.1919077   .0458931    -4.18   0.000    -.2818608   -.1019547
                  96 1  |  -.2622802    .048013    -5.46   0.000    -.3563882   -.1681721
                  98 1  |   -.327873   .0541108    -6.06   0.000    -.4339333   -.2218128
                        |
   1.earnings_quartile4 |   .4152339   .0384359    10.80   0.000     .3398975    .4905703
                        |
year#earnings_quartile4 |
                  77 1  |  -.3231262   .0611476    -5.28   0.000    -.4429788   -.2032736
                  78 1  |  -.2473844   .0601724    -4.11   0.000    -.3653255   -.1294432
                  79 1  |  -.2598632      .0593    -4.38   0.000    -.3760944   -.1436319
                  80 1  |  -.3446311   .0594035    -5.80   0.000    -.4610652   -.2281969
                  81 1  |  -.3556813    .059923    -5.94   0.000    -.4731336    -.238229
                  82 1  |  -.2865609   .0602069    -4.76   0.000    -.4045698   -.1685521
                  83 1  |  -.3634859   .0604831    -6.01   0.000    -.4820361   -.2449357
                  84 1  |  -.2806184   .0580576    -4.83   0.000    -.3944145   -.1668223
                  85 1  |  -.3342469   .0582087    -5.74   0.000    -.4483393   -.2201546
                  86 1  |  -.3078859   .0583559    -5.28   0.000    -.4222666   -.1935052
                  87 1  |  -.3567389   .0579578    -6.16   0.000    -.4703394   -.2431384
                  88 1  |  -.3051085    .057879    -5.27   0.000    -.4185546   -.1916624
                  89 1  |  -.2674226   .0559376    -4.78   0.000    -.3770634   -.1577818
                  90 1  |   -.248546   .0561243    -4.43   0.000    -.3585527   -.1385393
                  91 1  |  -.2455011   .0565846    -4.34   0.000    -.3564099   -.1345922
                  92 1  |  -.2164103   .0573654    -3.77   0.000    -.3288496   -.1039709
                  93 1  |  -.2027755   .0567489    -3.57   0.000    -.3140065   -.0915444
                  94 1  |  -.2482933   .0560871    -4.43   0.000    -.3582271   -.1383595
                  95 1  |  -.3140683   .0555936    -5.65   0.000    -.4230349   -.2051018
                  96 1  |  -.2600444   .0576246    -4.51   0.000    -.3729917    -.147097
                  98 1  |  -.2301437   .0647218    -3.56   0.000    -.3570019   -.1032855
                        |
   1.earnings_quartile5 |   .5204203   .0671523     7.75   0.000     .3887981    .6520426
                        |
year#earnings_quartile5 |
                  77 1  |  -.4242967   .0978486    -4.34   0.000    -.6160853   -.2325081
                  78 1  |  -.3705146   .0966186    -3.83   0.000    -.5598924   -.1811368
                  79 1  |  -.5358328   .0948073    -5.65   0.000    -.7216604   -.3500053
                  80 1  |   -.299243   .0957573    -3.13   0.002    -.4869326   -.1115533
                  81 1  |  -.2381817   .0965214    -2.47   0.014    -.4273691   -.0489944
                  82 1  |  -.3542249   .0969191    -3.65   0.000    -.5441917   -.1642581
                  83 1  |  -.2751798   .0968844    -2.84   0.005    -.4650785    -.085281
                  84 1  |  -.2418008   .0938755    -2.58   0.010    -.4258019   -.0577997
                  85 1  |  -.2349338   .0936752    -2.51   0.012    -.4185423   -.0513253
                  86 1  |  -.2739714   .0943058    -2.91   0.004    -.4588159   -.0891269
                  87 1  |  -.2023666   .0935835    -2.16   0.031    -.3857954   -.0189378
                  88 1  |  -.0509532   .0932986    -0.55   0.585    -.2338236    .1319173
                  89 1  |  -.1798909   .0904217    -1.99   0.047    -.3571225   -.0026594
                  90 1  |  -.1311103    .090635    -1.45   0.148    -.3087599    .0465392
                  91 1  |  -.2030262   .0917674    -2.21   0.027    -.3828954    -.023157
                  92 1  |  -.2453007   .0926797    -2.65   0.008     -.426958   -.0636434
                  93 1  |  -.3147192   .0926271    -3.40   0.001    -.4962735   -.1331649
                  94 1  |  -.2306271   .0913284    -2.53   0.012    -.4096358   -.0516183
                  95 1  |  -.2593529   .0904695    -2.87   0.004    -.4366781   -.0820278
                  96 1  |  -.3005007   .0931437    -3.23   0.001    -.4830674    -.117934
                  98 1  |  -.2892964   .1031169    -2.81   0.005    -.4914112   -.0871817
                        |
   1.earnings_quartile6 |   .5762288     .06742     8.55   0.000     .4440818    .7083758
                        |
year#earnings_quartile6 |
                  77 1  |  -.2640164   .0982575    -2.69   0.007    -.4566066   -.0714263
                  78 1  |  -.2295304    .097042    -2.37   0.018    -.4197382   -.0393226
                  79 1  |  -.2368814    .095891    -2.47   0.014    -.4248331   -.0489297
                  80 1  |  -.3360849   .0961714    -3.49   0.000    -.5245862   -.1475836
                  81 1  |  -.3667997   .0963845    -3.81   0.000    -.5557187   -.1778807
                  82 1  |  -.2982429   .0970175    -3.07   0.002    -.4884025   -.1080832
                  83 1  |  -.2525422    .097584    -2.59   0.010    -.4438122   -.0612722
                  84 1  |  -.1200024   .0937003    -1.28   0.200    -.3036603    .0636554
                  85 1  |   -.200063    .094071    -2.13   0.033    -.3844473   -.0156787
                  86 1  |    -.18457    .094154    -1.96   0.050    -.3691171    -.000023
                  87 1  |  -.1833185   .0938592    -1.95   0.051    -.3672876    .0006507
                  88 1  |   -.210071   .0934805    -2.25   0.025    -.3932978   -.0268441
                  89 1  |  -.1870955   .0912791    -2.05   0.040    -.3660076   -.0081835
                  90 1  |  -.1830056   .0915238    -2.00   0.046    -.3623973   -.0036138
                  91 1  |  -.1771835   .0917269    -1.93   0.053    -.3569732    .0026063
                  92 1  |  -.1532845   .0943161    -1.63   0.104    -.3381492    .0315802
                  93 1  |  -.1122936   .0922345    -1.22   0.223    -.2930784    .0684911
                  94 1  |   -.194612   .0917215    -2.12   0.034    -.3743912   -.0148328
                  95 1  |  -.1574802   .0906612    -1.74   0.082    -.3351812    .0202209
                  96 1  |  -.1243971   .0940895    -1.32   0.186    -.3088176    .0600235
                  98 1  |  -.0659095   .1036505    -0.64   0.525    -.2690703    .1372513
-----------------------------------------------------------------------------------------

. 
end of do-file

. exit, clear
